Thick thighs and cellulite buttocks lora for Flux .2 Klein<ul><li>Trained on Diffusion Pipe on 1832 images (single frames from various bikini fashion videos from youtube)</li><li>Trained at 512, 720, 1024 buckets</li><li>used 9B Base model for training</li><li>can't produce nipples nor vaginas since is trained on bikini only, you can combine but it will lose some thickness</li><li>Works great alongside my <a rel="ugc" href="https://civarchive.com/models/2327401/m4crom4sti4-huge-natural-breasts-flux-2-klein-k3nk">m4crom4sti4</a> lora for getting nipples and public hair</li></ul>The workflow im using is embeded inside the images, drag 'n drop into comfyuiExample prompt<pre><code> She has a voluptuous nude figure wide thighs. she faces away the viewer. her full body is naked. she is looking back at the viewer over her shoulder. Her body is shiny. , The lighting is bright, highlighting her toned physique. red high heels.</code></pre><pre><code>Japanese adult magazine style, 1980s aesthetic, full page portrait of a chubby obese woman with huge cellulitic buttocks, dark skin tone, wearing blue sports bra and white cap, showing large sagging buttocks with visible cellulite, natural lighting, bright colors, vintage magazine layout, 80s fashion details, soft focus background, 300 DPI, realistic skin texture, 16:9 aspect ratio, emphasis on large round buttocks with cellulite, natural body proportions, fitness era aesthetic, cellulite</code></pre>Have fun! 😜***** This LoRA is provided as is and intended for lawful and responsible use.It acts as a general-purpose refinement layer, influencing how the base model expresses prompts and concepts rather than performing direct transformations. The resulting output is always driven by the prompt and the capabilities already present in the underlying base model.The LoRA does not rely on paired inputs, before/after examples, or transformation-specific training. It focuses on improving coherence, detail, and stability across generations, including mature-themed outputs already supported by the base model.No specialized datasets targeting identity exposure or content reconstruction were used during training. All faces and potentially identifiable features were masked or anonymized throughout the training process.By downloading or using this LoRA, you accept full responsibility for its use and agree to comply with all applicable laws and platform rules.*****

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